Wavelet and kernel dimensional reduction on arrhythmia classification of ECG signals
Electrocardiogram (ECG) monitoring is continuously required to detect cardiac ailments. At times it is challenging tointerpret the differences in the P- QRS-T curve. The proposed approach aims to show the excellence of kernel capabilitiesof Kernel Principal Component Analysis (KPCA) and Kernel Indep...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2020-05-01
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| Series: | EAI Endorsed Transactions on Scalable Information Systems |
| Subjects: | |
| Online Access: | https://eudl.eu/pdf/10.4108/eai.13-7-2018.163095 |